Upload app.py with huggingface_hub

app.py

@@ -27,17 +27,7 @@ pipe = JoyImageEditPlusPipeline.from_pretrained(
 pipe.enable_model_cpu_offload()
 
 
-def _estimate_duration(images, prompt, num_inference_steps, guidance_scale, seed, negative_prompt, randomize_seed, *args, **kwargs):
-    """Estimate the GPU duration needed based on step count and image count.
-
-    Accepts *args/**kwargs because Gradio passes progress= positionally.
-    """
-    n_imgs = len(images) if images else 0
-    # ~1s per step for 16B transformer + 8B text encoder + VAE, plus overhead
-    return min(300, 60 + int(num_inference_steps * 3.5) + n_imgs * 10)
-
-
-@spaces.GPU(duration=_estimate_duration)
+@spaces.GPU(duration=300)
 def generate(
     images,
     prompt: str,